── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.4 ✔ readr 2.1.5
✔ forcats 1.0.0 ✔ stringr 1.5.1
✔ ggplot2 3.5.1 ✔ tibble 3.2.1
✔ lubridate 1.9.3 ✔ tidyr 1.3.1
✔ purrr 1.0.2
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
`summarise()` has grouped output by 'NTD ID', 'Agency Name'. You can override using the `.groups` argument.
Rows: 3744 Columns: 29
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (10): Agency, City, State, NTD ID, Organization Type, Reporter Type, UZA...
dbl (2): Report Year, UACE Code
num (10): Primary UZA Population, Agency VOMS, Mode VOMS, Vehicle Operations...
lgl (7): Vehicle Operations Questionable, Vehicle Maintenance Questionable,...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
`summarise()` has grouped output by 'NTD ID'. You can override using the `.groups` argument.
`summarise()` has grouped output by 'NTD ID', 'Agency', 'UZA Name', 'Mode', '3 Mode'. You can override using the `.groups` argument.